Application recommendation method and device and electronic equipment
A technology of application recommendation and application collection, applied in the Internet field, can solve problems such as poor user experience, convergence, and influence on the accuracy of application recommendation, and achieve the effect of improving recommendation novelty, improving user experience, and accurate recommendation
Active Publication Date: 2018-09-28
ALIBABA (CHINA) CO LTD
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Problems solved by technology
Traditional application similarity calculations are usually based on methods such as cosine similarity, Euclidean distance, Gerrard algorithm, Pearson correlation coefficient, etc., but these methods only recommend users based on application similarity, and it is easy to use applications with high similarity. Apps are recommended to users, but these apps correspond to popular and popular apps. In the end, the apps recommended to different users tend to converge. It is impossible to recommend novel apps for different users, which affects app recommendation. Accuracy, resulting in poor user experience
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[0065] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangements of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
[0066] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way taken as limiting the invention, its application or uses.
[0067] Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered part of the description.
[0068] In all examples shown and discussed herein, any specific values should be construed as exemplary only, and not as limitations. Therefore, other instances of the exemplary embodiment may have dif...
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The invention discloses an application recommendation method and device and electronic equipment. The method includes: obtaining a degree of historical relevance between any two candidate applicationsin a candidate application set; obtaining historical application behavior data of a target user; for each candidate application, obtaining a degree of recommendation novelty of the candidate application for the target user according to degrees of historical relevance between the candidate application and any other candidate application and the historical application behavior data; and selecting candidate applications, of which degrees of recommendation novelty meet a preset recommendation condition, to use the same as target applications to recommend the same to the target user. According tothe method, recommendation of applications with higher degrees of popularity or higher degrees of popularization can be avoided, probability of recommending applications with higher degrees of noveltycan be increased, accurate recommendation of the applications can be realized, and user experience can be improved.
Description
technical field [0001] The present invention relates to the technical field of the Internet, and more specifically, to an application recommendation method, device and electronic equipment. Background technique [0002] With the rapid development of Internet technology and the popularization of mobile intelligence of electronic devices, more and more users are accustomed to downloading and installing applications (application programs, APP for short) through electronic devices such as mobile phones and tablet devices, in order to obtain the Services provided by the application. Therefore, an application platform that gathers a large number of applications for users to download and install has emerged as the times require. [0003] With the explosive growth of Internet users, the current application platform often brings together a large number of applications, and the speed of application updates or new additions also increases exponentially. App downloads affect user expe...
Claims
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Login to View More IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0255G06Q30/0631
Inventor 梁徽科
Owner ALIBABA (CHINA) CO LTD